How much VRAM does Qwen3.5 9B need?

Qwen3.5 9B (9B parameters) requires approximately 9.8 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen3.5 9B?

The recommended quantization for Qwen3.5 9B is Q4_K_M, which balances quality and memory efficiency.

Can it run?

Yes, MacBook Air M2 16GB can run Qwen3.5 9B with a C grade (Tight fit). Expected decode speed: 11.8 tok/s.

CUsable

Tight fit

Using Q4_K_M in Ollama

Capabilities:

Fit status

Tight fit

Decode

11.8 tok/s

TTFT

16352 ms

Safe context

19K

Memory

9.8 GB / 11.5 GB

Weights5.5 GB

KV Cache1.4 GB

Runtime1.2 GB

Headroom1.7 GB

Workload	Grade	Fit	Decode	TTFT	Context
Agentic Coding	C	Runs with offload	11.8 tok/s	23784 ms	33K
Chat	C	Runs well	11.8 tok/s	8919 ms	10K
Coding	C	Tight fit	11.8 tok/s	16352 ms	19K
RAG	C	Runs with offload	11.8 tok/s	29730 ms	33K
Reasoning	C	Tight fit	11.8 tok/s	19325 ms	19K

How Qwen3.5 9B (9B params) fits at each quantization level on MacBook Air M2 16GB (11.5 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.5 GB	Low	D36
Q3_K_S	3	4.4 GB	Low	D38
NVFP4	4

HuggingFace

huggingface-cli download hf-lmstudio-community--qwen3-5-9b-gguf

Upgrade options

Intel Arc B580 12GBBudget pick

C39.9 tok/s decode

~$249 MSRP

RTX 3060 12GBBest value

C43.3 tok/s decode

~$329 MSRP

RTX 3080 12GBBiggest leap

B126.3 tok/s decode

~$799 MSRP

MacBook Pro M4 Pro 24GB